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Udemy - Top 101 Data Analyst Interview Questions - Concepts and KPIs

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1 - 1. Data Analyst Interview Foundations

1. What does a Data Analyst do day-to-day.mp4

MP4

30.3 MB

10. What is ETL and why does it matter to analysts.mp4

MP4

30.4 MB

2 - 2. SQL Basics for Data Analysts

11. How do you write a basic SELECT query.mp4

MP4

24.7 MB

12. WHERE vs HAVING when to use each.mp4

MP4

27.9 MB

13. GROUP BY and aggregation basics.mp4

MP4

26.6 MB

14. INNER JOIN vs LEFT JOIN.mp4

MP4

27.6 MB

15. Handling NULLs in SQL.mp4

MP4

27.1 MB

16. COUNT( ) vs COUNT(DISTINCT).mp4

MP4

27.2 MB

17. CASE WHEN for categorization.mp4

MP4

25.9 MB

18. Filtering by date ranges.mp4

MP4

27.7 MB

19. Debugging a SQL query that returns wrong counts.mp4

MP4

28.3 MB

20. What is DISTINCT and when is it risky.mp4

MP4

25.1 MB

21. Subquery vs CTE basics.mp4

MP4

26.3 MB

22. UNION vs UNION ALL.mp4

MP4

27.8 MB

3 - 3. Excel & Spreadsheet Skills

23. What Excel functions do analysts use most.mp4

MP4

27.2 MB

24. How do you build a Pivot Table for KPI reporting.mp4

MP4

26.7 MB

25. SUMIFS vs COUNTIFS when and why.mp4

MP4

27.8 MB

26. LOOKUPs in Excel XLOOKUP or INDEX-MATCH.mp4

MP4

26.4 MB

27. Data cleaning in Excel text to columns and trimming.mp4

MP4

27.6 MB

28. How do you create an effective chart in Excel.mp4

MP4

26.3 MB

29. How do you audit a spreadsheet for errors.mp4

MP4

29.6 MB

30. When to use Excel vs SQL vs BI tools.mp4

MP4

29.2 MB

4 - 4. Data Cleaning & Data Types Basics

31. How do you handle missing data.mp4

MP4

30 MB

32. How do you detect and remove duplicates correctly.mp4

MP4

28.6 MB

33. How do you treat outliers in analysis.mp4

MP4

29.7 MB

34. Categorical vs numerical data why it matters.mp4

MP4

29.7 MB

35. How do you document assumptions and transformations.mp4

MP4

28.4 MB

5 - 5. Descriptive Statistics & Probability

36. Mean vs median which would you report.mp4

MP4

28.2 MB

37. Variance and standard deviation in plain English.mp4

MP4

29.8 MB

38. Percentiles and quartiles for performance reporting.mp4

MP4

30 MB

39. Correlation vs causation.mp4

MP4

29.1 MB

40. When to use histogram vs box plot.mp4

MP4

28.1 MB

41. Skewness and why it changes your metric choice.mp4

MP4

27.9 MB

42. Sampling bias and representativeness.mp4

MP4

29.5 MB

43. Central Limit Theorem in practical terms.mp4

MP4

29.3 MB

44. What is a confidence interval and how do you interpret it.mp4

MP4

28 MB

45. How do you choose the right summary statistic.mp4

MP4

28.4 MB

46. Covariance and correlation what is the difference.mp4

MP4

28.8 MB

47. What is a z-score and how do you use it.mp4

MP4

29.2 MB

48. Type I and Type II errors in decisions.mp4

MP4

29 MB

6 - 6. KPI Thinking & Business Metrics

49. How do you define a KPI clearly.mp4

MP4

28.9 MB

50. Leading vs lagging indicators.mp4

MP4

27.4 MB

51. Funnel metrics how do you analyze drop-off.mp4

MP4

28 MB

52. Retention metrics D1, D7, D30.mp4

MP4

29.3 MB

53. Churn definition and measurement choices.mp4

MP4

29 MB

54. ARPU and ARPA what do they mean.mp4

MP4

31 MB

55. Customer Lifetime Value basics.mp4

MP4

29.2 MB

56. CAC and payback period.mp4

MP4

29.1 MB

57. Metric trees breaking down a KPI.mp4

MP4

29.1 MB

58. North Star metric and supporting metrics.mp4

MP4

28.3 MB

59. Cohort analysis what it is and why it matters.mp4

MP4

31.2 MB

60. Setting KPI targets and thresholds.mp4

MP4

28.9 MB

7 - 7. Visualization, Dashboards & Storytelling

61. How do you choose the right visualization.mp4

MP4

28.7 MB

62. What makes a dashboard trustworthy.mp4

MP4

30.6 MB

63. How do you tell a story with data.mp4

MP4

27.5 MB

64. Avoiding misleading charts and common visualization traps.mp4

MP4

29.8 MB

65. How do you design a KPI dashboard layout.mp4

MP4

29.8 MB

66. Explaining uncertainty and limitations.mp4

MP4

30.2 MB

67. How do you handle conflicting stakeholder interpretations.mp4

MP4

31.3 MB

68. Creating a one-slide executive summary.mp4

MP4

29.1 MB

69. Annotations and context when to add them.mp4

MP4

30 MB

70. Data storytelling with comparisons WoW, MoM, YoY.mp4

MP4

30.6 MB

8 - 8. Experimentation & A B Testing

71. How do you design an A B test end-to-end.mp4

MP4

31.7 MB

72. What does statistical significance mean in practice.mp4

MP4

30.9 MB

73. P-value how do you explain it to a stakeholder.mp4

MP4

29.4 MB

74. Power and sample size why tests fail.mp4

MP4

30.5 MB

75. Guardrail metrics and unintended consequences.mp4

MP4

30.6 MB

76. Case DAU dropped yesterday. What do you do.mp4

MP4

33.5 MB

77. Case Conversion rate is down but traffic is up.mp4

MP4

31.4 MB

78. Case Marketing wants ROI for a campaign.mp4

MP4

32.4 MB

79. Case Dashboard numbers do not match Finance.mp4

MP4

35.1 MB

80. Case You suspect a tracking bug.mp4

MP4

34 MB

81. Case A B test is inconclusive.mp4

MP4

31.7 MB

82. Case Build a report for weekly business review.mp4

MP4

31.6 MB

83. Case Customer churn is increasing. Create an analysis plan.mp4

MP4

34.2 MB

84. Case Marketplace imbalance between supply and demand.mp4

MP4

32.2 MB

85. Case Pricing change impact analysis.mp4

MP4

35.9 MB

9 - 10. Advanced SQL & Data Modeling

100. Anomaly detection in KPI monitoring.mp4	MP4	31 MB
101. Building an analytics project from question to impact.mp4	MP4	34.2 MB
86. Window functions why and how.mp4	MP4	32.3 MB
87. LAG and LEAD for behavioral analysis.mp4	MP4	29.9 MB
88. Slowly Changing Dimensions in analytics.mp4	MP4	31.6 MB
89. Star schema fact and dimension tables.mp4	MP4	31.1 MB
90. Normalizing vs denormalizing for analytics.mp4	MP4	31.1 MB
91. Query optimization making SQL faster.mp4	MP4	30.8 MB
92. Many-to-many joins and bridge tables.mp4	MP4	31.4 MB
93. Linear regression interpreting coefficients.mp4	MP4	30.9 MB
94. Logistic regression for conversion problems.mp4	MP4	31.2 MB
95. Overfitting and how to prevent it.mp4	MP4	29 MB
96. Feature leakage a common modeling trap.mp4	MP4	29.8 MB
97. Time series forecasting basics for analysts.mp4	MP4	31.9 MB
98. Difference-in-differences for causal questions.mp4	MP4	31.3 MB
99. Clustering for segmentation.mp4	MP4	30.3 MB

2. How do you clarify vague business questions.mp4

MP4

31.6 MB

3. How do you prioritize multiple analysis requests.mp4

MP4

27.8 MB

4. What is the difference between a metric and a KPI.mp4

MP4

28.2 MB

5. How do you ensure data quality before analysis.mp4

MP4

29.8 MB

6. How do you explain insights to non-technical stakeholders.mp4

MP4

28.3 MB

7. What is a dataset, table, row, and column.mp4

MP4

26.9 MB

8. What is data granularity and why is it important.mp4

MP4

27.3 MB

9. What is a primary key and foreign key in analytics.mp4

MP4

27.3 MB

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Udemy - Top 101 Data Analyst Interview Questions - Concepts and KPIs

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